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HomeHomework Helpcomputer-scienceRisks of AI Systems

Risks of AI Systems

The potential dangers and negative consequences associated with the deployment and use of artificial intelligence, particularly concerning individual rights, safety, and economic opportunities.

intermediate
3 hours
Computer Science
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Overview

AI systems offer tremendous potential but also come with significant risks that must be understood and managed. Ethical concerns, security vulnerabilities, and unintended consequences are critical areas of focus for developers and users alike. By recognizing these risks, stakeholders can work toward...

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Key Terms

Bias
A systematic error that leads to unfair outcomes in AI systems.

Example: An AI hiring tool that favors one demographic over others.

Ethics
Moral principles that govern a person's or group's behavior.

Example: Deciding whether to use AI for surveillance.

Security Vulnerability
A weakness in a system that can be exploited by attackers.

Example: An AI system that can be tricked into making incorrect decisions.

Unintended Consequences
Outcomes that are not the ones foreseen or intended by a purposeful action.

Example: An AI that optimizes for profit but harms the environment.

Autonomous Systems
Systems that can operate independently without human intervention.

Example: Self-driving cars.

Data Privacy
The aspect of information technology that deals with the proper handling of data.

Example: Ensuring personal data is not misused by AI.

Related Topics

AI Ethics
Explores the moral implications of AI technologies and their impact on society.
intermediate
Cybersecurity in AI
Focuses on protecting AI systems from cyber threats and vulnerabilities.
advanced
AI and Society
Examines the broader societal impacts of AI technologies and their integration into daily life.
intermediate

Key Concepts

Ethical concernsSecurity vulnerabilitiesBias in AIUnintended consequences